
Revista Científica de Química e Industrial - Universidad Nacional "San Luis Gonzaga", Perú
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Córdova, C., Llulluna, F., Sinchi, J., &
Pachacama, D. (2021). Dynamic analysis of
a convergence diagnostic equipment for
preventive maintenance in light vehicles. En
Proceedings of the 7th World Congress on
Mechanical, Chemical, and Material
Engineering. Avestia Publishing.
https://avestia.com/MCM2021_Proceeding
s/files/paper/ICMIE/ICMIE_121.pdf
De la Cruz, M., Nápoles, M., & Morales, Y. (2017).
Procedimiento basado en el mantenimiento
centrado en la fiabilidad para la
reconversión de la industria azucarera.
Tecnología Química, 37(1), 77–92.
http://scielo.sld.cu/scielo.php?pid=S2224-
61852017000100007&script=sci_arttext
García, M. (2017). Una polémica trascendental
sobre el mantenimiento preventivo y
predictivo. Revista Investigaciones
Sociales, 3(8), 1–11.
https://www.ecorfan.org/republicofnicaragu
a/researchjournal/investigacionessociales/j
ournal/vol3num8/Revista_de_Investigacion
es_Sociales_V3_N8.pdf
Cheng, W., Yi, Y., Dauzére, S., & Cheng, Y.
(2019). Dynamic dispatching and preventive
maintenance for parallel machines.
Computers & Operations Research, 107,
206–219.
https://doi.org/10.1016/j.cor.2019.03.006
Seiti, H., & Hafezalkotob, A. (2019). Developing
the R-TOPSIS methodology for risk-based
preventive maintenance planning.
Computers & Industrial Engineering, 128,
622–636.
https://doi.org/10.1016/j.cie.2019.01.014
Van Staden, H., Deprez, L., & Boute, R. (2022). A
dynamic “predict, then optimize” preventive
maintenance approach. European Journal
of Operational Research, 301(1), 91–105.
https://doi.org/10.1016/j.ejor.2022.01.024
Lin, B., Wu, J., Lin, R., Wang, J., Wang, H., &
Zhang, X. (2019). Optimization of high-level
preventive maintenance scheduling for
high-speed trains. Reliability Engineering &
System Safety, 183, 261–275.
https://doi.org/10.1016/j.ress.2018.11.014
Yang, L., Ye, Z. S., Lee, C. G., Yang, S. F., &
Peng, R. (2019). A two-phase preventive
maintenance policy. European Journal of
Operational Research, 274(3), 966–977.
https://doi.org/10.1016/j.ejor.2018.10.040
Li, L., Wang, Y., & Lin, K.-Y. (2021). Preventive
maintenance scheduling optimization.
Journal of Intelligent Manufacturing, 32(2),
545–558. https://doi.org/10.1007/s10845-
020-01588-9
Huang, J., Chang, Q., & Arinez, J. (2020). Deep
reinforcement learning-based preventive
maintenance policy. Expert Systems with
Applications, 160, 113701.
https://doi.org/10.1016/j.eswa.2020.113701
Memari, M., Zarezadeh, S., & Asadi, M. (2021).
Optimal preventive maintenance for
reparable networks. Applied Stochastic
Models in Business and Industry, 37(6),
1017–1041.
https://doi.org/10.1002/asmb.2634
Silva, I., Pineda, R., & Acosta, R. (2019). Diseño
de plan de mantenimiento preventivo
utilizando AMEF. Mundo FESC, 9(18), 36–
46.
https://www.fesc.edu.co/Revistas/OJS/inde
x.php/mundofesc/article/view/446
Guerra, E., & Alexis, D. (2019). Relationship
between productivity, maintenance, and
replacement in large mining. Boletín de
Ciencias de la Tierra, (45), 63–72.
https://pdfs.semanticscholar.org/acad/8f1e
53a6c2367014490aa429e8937f6811e1.pdf
Díaz, C., Catari, D., Murga, C., Díaz, G., &
Quezada, V. (2020). OEE ajustado por
costos. Interciencia, 45(3), 158–163.
https://www.redalyc.org/articulo.oa?id=339/
33962773006
Zhang, Z., & Tang, Q. (2022). Integrating
preventive maintenance to two-stage
assembly flow shop scheduling. Flexible
Services and Manufacturing Journal, 34(1),
156–203. https://doi.org/10.1007/s10696-
021-09403-0
Dui, H., Yang, X., & Fang, Y. (2022). Evaluation
methodology for preventive maintenance in
multi-state manufacturing systems.
International Journal of Production
Research.
https://doi.org/10.1080/00207543.2022.212
7163
Vasalic, D., Vujanovic, D., & Ivkovic, I. (2021).
Preventive maintenance of fleets in
dangerous goods transport. International
Journal for Traffic and Transport